We architect robust technical solutions leveraging cutting-edge advancements in AI/ML, distributed systems, and full-stack engineering. Our team operates at the intersection of research-grade algorithms and production-grade deployments.
Core Technical Competencies:
AI/ML Engineering
• Developing LLM pipelines (LangChain, LlamaIndex) with RAG architectures
• Training custom models (PyTorch/TensorFlow) & optimizing HuggingFace Transformers
• Implementing AutoML systems and reinforcement learning (RLHF) agents
• Building multimodal AI (NLP + Computer Vision) with YOLOv8, MediaPipe, Tesseract
Scalable Backend & Data Systems
• Designing ...
We architect robust technical solutions leveraging cutting-edge advancements in AI/ML, distributed systems, and full-stack engineering. Our team operates at the intersection of research-grade algorithms and production-grade deployments.
Core Technical Competencies:
AI/ML Engineering
• Developing LLM pipelines (LangChain, LlamaIndex) with RAG architectures
• Training custom models (PyTorch/TensorFlow) & optimizing HuggingFace Transformers
• Implementing AutoML systems and reinforcement learning (RLHF) agents
• Building multimodal AI (NLP + Computer Vision) with YOLOv8, MediaPipe, Tesseract
Scalable Backend & Data Systems
• Designing low-latency APIs (FastAPI, GraphQL, gRPC)
• Engineering event-driven architectures (Kafka, RabbitMQ)
• Implementing vector search at scale (Pinecone, Milvus)
• Building ETL pipelines (Airflow) and real-time analytics
Performance-Optimized Deployment
• Containerized ML serving (Docker + Kubernetes)
• Edge AI deployments (Jetson, Raspberry Pi)
• CI/CD automation (GitHub Actions, ArgoCD)
• Infrastructure-as-Code provisioning
Full-Stack Engineering
• Building AI-integrated web apps (Next.js, React, TypeScript)
• Developing cross-platform mobile (Flutter, React Native)
• Implementing WebSocket-based real-time systems
Technical Differentiation:
- MLOps-focused model lifecycle management
- Benchmarked inference optimization (ONNX, TensorRT)
- Zero-trust security for AI systems
- Deterministic deployment via GitOps
We solve hard engineering problems - from high-throughput model serving to distributed IoT networks. Let's discuss architectures.
